Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ManojAlexender/Trail_run_final_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/Trail_run_final_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ManojAlexender/Trail_run_final_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/Trail_run_final_roberta") model = AutoModelForSequenceClassification.from_pretrained("ManojAlexender/Trail_run_final_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ManojAlexender/Trail_run_final_roberta: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/ManojAlexender/Trail_run_final_roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://ManojAlexender/Trail_run_final_roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ManojAlexender/Trail_run_final_roberta/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- aa38872e70ccd6c9e074246616cb5ceac0dd78a0539a411ce4bce3d8bc27ff3f
- Size of remote file:
- 4.86 kB
- SHA256:
- 42abbf837b70e5de399522eb0e61d7e75f728d09f39be1d9aa9bac6cc47e7659
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